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» A New Shape Descriptor for Object Recognition and Retrieval
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VISUAL
2000
Springer
13 years 11 months ago
Shape Description for Content-Based Image Retrieval
Abstract. The present work is focused on a global image characterization based on a description of the 2D displacements of the different shapes present in the image, which can be e...
Edoardo Ardizzone, Antonio Chella, Roberto Pirrone
ICPR
2010
IEEE
14 years 17 hour ago
Circularity Measuring in Linear Time
We propose a new circularity measure inspired from Arkin [1], Latecki [9] tools of shape matching that is constructed in a tangent space. We then introduce a linear algorithm that...
Thanh Phuong Nguyen, Isabelle Debled-Rennesson
WSCG
2003
142views more  WSCG 2003»
13 years 9 months ago
Three-Dimensional Object Recognition: Statistical Approach
The design of a general purpose artificial vision system capable of recognizing arbitrarily complex threedimensional objects without human intervention is still a challenging task...
R. Abdul Salam, M. A. Rodrigues
MM
2010
ACM
462views Multimedia» more  MM 2010»
13 years 7 months ago
KPB-SIFT: a compact local feature descriptor
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Gangqiang Zhao, Ling Chen, Gencai Chen, Junsong Yu...
ICPR
2002
IEEE
14 years 8 months ago
Rotation and Scale Invariant Shape Representation and Recognition Using Matching Pursuit
Using a low-level representation of images, like matching pursuit, we introduce a new way of describing objects through a general description using a translation, rotation, and is...
François Mendels, Pierre Vandergheynst, Jea...